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Titlebook: Advances in Swarm Intelligence; First International Ying Tan,Yuhui Shi,Kay Chen Tan Conference proceedings 2010 Springer-Verlag Berlin Hei

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Overview of the reference model,re Error (SSE) function is used to evaluate performance of three algorithms, oRBFNN, GA-RBFNN and MuPSO-RBFNN algorithms. Several experiments in function approximation show MuPSO-RBFNN is better than oRBFNN and GA-RBFNN.
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Lecture Notes in Computer Scienceributes are presented by their knowledge and four actions of agents are introduced in the paper. A foreign trade supply chain is simulated to show the availability of the agent-based model. The model should be available as a toolkit for the studying of the make-to-order supply chains.
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David Beech (Chairman of IFIP WG 2.7)ntifier. Simulation experiments show that MPSO-ENN is a more effective swarm intelligent hybrid algorithm (SIHA), which results in an identifier with the best trained model. Dynamic identification system (DIS) of the MPSO-ENN is obtained.
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Overview of the reference model,es a quadratic programming problem that can be solved by general purpose software or conventional optimization algorithms. Finally, we demonstrate the developed modeling idea via two numerical examples.
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https://doi.org/10.1007/3-540-16791-9ractiveness of the prominent Ad place depends on the market structure in terms of consumer preference and consumer search behavior. The more consumers purchase from the firm listed in the prominent Ad places or the more consumers prefer high-quality product the more strict area in which the low-quality product manufacture has positive profit.
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A Class of Fuzzy Portfolio Optimization Problems: E-S Modelses a quadratic programming problem that can be solved by general purpose software or conventional optimization algorithms. Finally, we demonstrate the developed modeling idea via two numerical examples.
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